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ECE EIFFEL 3Bv2 by lesubra

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  Merged Model   Custom code   Instruct Microsoft/phi-3.5-mini-instruc...   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/lesubra/ECE-EIFFEL-3Bv2 

ECE EIFFEL 3Bv2 Benchmarks

MMLU Pro: 33.33
GPQA: 11.41
MUSR: 15.77
BBH: 36.35
IFEval: 30.13 vs 88 (so35)-65.8%
MATH Lvl 5: 11.86
LLME Score: 0.26533
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ECE EIFFEL 3Bv2 (lesubra/ECE-EIFFEL-3Bv2)

ECE EIFFEL 3Bv2 Parameters and Internals

Additional Notes 
ECE-EIFFEL-3Bv2 is a merge of the following models using mergekit: lesubra/merge-test and microsoft/Phi-3.5-mini-instruct.
LLM NameECE EIFFEL 3Bv2
Repository 🤗https://huggingface.co/lesubra/ECE-EIFFEL-3Bv2 
Merged ModelYes
Model Size3.8b
Required VRAM7.7 GB
Updated2025-04-11
Maintainerlesubra
Model Typephi3
Instruction-BasedYes
Model Files  1.0 GB: 1-of-9   1.0 GB: 2-of-9   1.0 GB: 3-of-9   0.9 GB: 4-of-9   0.9 GB: 5-of-9   0.9 GB: 6-of-9   0.9 GB: 7-of-9   0.9 GB: 8-of-9   0.2 GB: 9-of-9
Model ArchitecturePhi3ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lesubra/ECE-EIFFEL-3Bv2.

Rank the ECE EIFFEL 3Bv2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
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Release v20241227
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